Ramesh Menchu

Sustainable Business Analyst
Sustainable Business Analyst

Professional Profile:

A Global MBA graduate with extensive knowledge in green energy and sustainable business management. Familiar with R Programming and Tableau, handled large and complex business data, identifying patterns which enabled the client to draw the right business decisions. I am seeking a challenging Sustainable Business Development opportunity to manage and lead projects where my advanced skills, education and extensive training can be fully utilized.

Core Skills :

• Energy Management and Energy Auditing
• R Programming and Tableau
• Business Statistics
• Data Mining/Machine Learning
• Business and Financial Data Analysis
• Business Process Improvement
• Building Prediction Models
• Microsoft Office Suite

 

 

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Education

Global MBA in Green Energy and Sustainable Businesses @ Bologna Business School (Bologna,Italy)
Aug 2014 — Aug 2015

The Global MBA in Green Energy and Sustainable Businesses is aimed at young managers who are interested in the challenges imposed by climate change, and the principle on which to build the
future of business.

http://bolognabusinessschool.com/hp/global-mba/mba-green-energy-and-sustainable-businesses/#struttura

Master's Degree in Computational Engineering @ University of Hyderabad
Jun 2009 — Jun 2011

Computational Engineering deals with the challenges posed by complex realistic problems in almost all branches of engineering and technology. This is a multi-disciplinary field covering a range of subjects from computer science to high-end technology.

Experience

Sustainability Analyst @ Sustainable Value Investors.Milan(Italy)
Mar 2018 — Sep 2017

Outline:

Delivered state-of-the-art analytical solutions to SVI clients, including data acquisition and extraction, data analysis (quantitative and qualitative), recommendations, reporting and presentations.

Key Accomplishments:

• Performed advanced statistical analysis such as continuous-correlation analysis, time series analysis
and ANOVA of fortune 500 companies’ different sectors daily stock price data, generated financial insights
• Used R Statistical programming and created Tableau interactive dash boards by applying different KPI’s
• Carried out different sector companies ESG (Environmental, Social and Governance) analysis
• Calculated companies carbon footprint, including office and transportation energy consumption
• Drew ESG Breakdown plots, did company’s stock price risk and volatility performance analysis
• Worked extensively on complex data, and helped business to understand root causes of the results
• Published successfully the financial data analysis results on Tableau online server

Business Analyst @ Heliopolis Energia SPA
Aug 2015 — Mar 2016

Outline:

Worked closely with company business manager as an MBA Intern and developed business plans for launching of projects according to customer requirements, defining project scope, suggesting computation tools and techniques.

Key Accomplishments :

• Attained building business plan and strategy for Biomethane production to connect the national gas grid and to sell in transportation sector; leading to an increase of productivity
• Projected bioenergy revenues and cash flow over a period of 20 years
• Gathered energy data and evaluated technical and economic aspects of energy efficiency of Milan Deutsche bank building
• Reduced bank energy consumption costs 12% by implementing best case model and saved 500.000 €

Data Analyst @ INCOIS
Nov 2011 — Dec 2013

Outline:

Associated with Information Services Group, interpreted patterns in large sets of environmental data, provided insights and recommendations.

Key Accomplishments:

• Analysed big data, used appropriate statistical techniques such as linear regression, logistic regression, time series, segmentation and clustering
• Assimilated datasets by applying Kalman-Filter Ensemble computational techniques
• Built prediction models such as Poisson and negative binomial model
• Developed various models based on the business scenario and deployed in production which are being used extensively by the business

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